Evaluating Topic Coherence Using Distributional Semantics
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Information RetrievalSemantic Textual SimilarityTopic ModelsWord Sense DisambiguationSimilar Papers 제목 키워드 기반
Distributional Lexical Entailment by Topic Coherence
2014-04-01 · EACL 2014 4
· Laura Rimell
Lexical EntailmentRelation Classification
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
2020-10-08 · EMNLP 2020 11
· Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin 외
Automatically evaluating dialogue coherence is a challenging but high-demand ability for developing high-quality open-domain dialogue systems. However, current evaluation metrics consider only surface features or utteran…
Dialogue EvaluationEvaluating topic coherence measures
2014-03-25
· Frank Rosner, Alexander Hinneburg, Michael Röder, Martin Nettling 외
Topic models extract representative word sets - called topics - from word counts in documents without requiring any semantic annotations. Topics are not guaranteed to be well interpretable, therefore, coherence measures …
PhilosophyTopic ModelsMachine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
2014-04-01 · EACL 2014 4
· Jey Han Lau, David Newman, Timothy Baldwin
Machine TranslationReading ComprehensionTopic Models
Exploratory topic modeling with distributional semantics
2015-07-16
· Samuel Rönnqvist
As we continue to collect and store textual data in a multitude of domains, we are regularly confronted with material whose largely unknown thematic structure we want to uncover. With unsupervised, exploratory analysis, …
Semantic SimilaritySemantic Textual Similarity